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Image feature extraction is an essential step in the procedure of image recognition. In this paper, for images features extracting and recognizing, a novel deep neural network called Gaussian–Bernoulli based Convolutional Deep Belief Network (GCDBN) is proposed. The architecture of the proposed GCDBN consists of several convolutional layers based on Gaussian–Bernoulli Restricted Boltzmann Machine...
Feature visualization plays an important role in visualization of complicated flows because it can highlight the feature of the flows with a simplified representation. The traditional feature visualization methods may exact some important features in flow field imprecisely due to the lack of the knowledge and the experience of the user. This paper gives a particle-based visualization system which...
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